Back to Search
Start Over
Optimization of the xylan degradation activity of monolithic enzymatic membranes as a function of their composition using design of experiments
- Source :
- Bioprocess and biosystems engineering. 29(4)
- Publication Year :
- 2006
-
Abstract
- The aim of this work was the development and optimization of enzymatic monolithic membranes with high catalytic activity for the degradation of xylan into xylooligosaccharides. The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic activity of the monolithic membranes based on their constituents. The effect of three process variables, including the amount of various monomer contents and the porogenic solvents ratio, has been studied on the enzymatic activity of the resulted membranes. The experimental design chosen was a central face centred with six central points in order to obtain an orthogonal model, with the precision of the results being independent of the range of values considered for each parameter. The software Modde(c) 6.0 from Umetrics(c) was used to build and analyze the results of the experimental design using partial least squares regression. The optimization of the suggested model provided the best membrane composition to achieve maximum enzymatic activity, which can be related to the amount of enzyme immobilized on the monolithic membrane. The predictive capacity of the model was evaluated performing additional experiments.
- Subjects :
- Polymers
Xylan (coating)
Bioengineering
chemistry.chemical_compound
Partial least squares regression
Combinatorial Chemistry Techniques
Computer Simulation
chemistry.chemical_classification
Trichoderma
Chromatography
Endo-1,4-beta Xylanases
Design of experiments
Membranes, Artificial
General Medicine
Polymer
Enzymes, Immobilized
Enzyme Activation
Kinetics
Monomer
Membrane
Biodegradation, Environmental
chemistry
Chemical engineering
Models, Chemical
Research Design
Degradation (geology)
Xylans
Industrial and production engineering
Biotechnology
Subjects
Details
- ISSN :
- 16157591
- Volume :
- 29
- Issue :
- 4
- Database :
- OpenAIRE
- Journal :
- Bioprocess and biosystems engineering
- Accession number :
- edsair.doi.dedup.....87bfa831976568864104c712656ca6c4